Program

	Monday June 4th	Tuesday June 5th	Wednesday June 6th
9.00 10.00	Keynote Gil McVean, University of Oxford	Keynote Surajit Chaudhuri, Microsoft Research	Keynote Lisa Amini, IBM Research
10.00 10.30	Coffee break	Coffee break	Coffee break
10.30 12.30	Lecture Learning (6 x 20′ talks)	Special Session Lecture Network topology inference (6 x 20′ talks)	Special Session Lecture CNNs for graph data (6 x 20′ talks)
12.30 13.00	Industry Outlook I Srikrishna Chaitanya Konduru, Bühler Group Claudiu Musat, Swisscom	Industry Outlook II Marios Anthimopoulos, Frontiers Phong Nguyen, Expedia	Industry Outlook III Gregory Mermoud, Cisco Hugo Penedones, Google DeepMind
13.00 13.30	Lunch break	Lunch break	Lunch break
13.30 14.00	Lunch break	Lunch break	Lunch break
14.00 14.30	Keynote Volker Markl, TU Berlin	Keynote Andreas Krause, ETHZ	Keynote Victoria Stodden, UIUC
14.30 15.00	Keynote Volker Markl, TU Berlin	Keynote Andreas Krause, ETHZ	Keynote Victoria Stodden, UIUC
15.00 15.30	Coffee break	Coffee break	Coffee break
15.30 16.00	Poster Data Science 1 Poster Session 1 (starting at 3pm)	Poster Data Science 2 Poster Session 2 (starting at 3pm, w. late breaking)	Grand Challenge: Investment Ranking Challenge (until 17.00)
16.00 16.30
16.30 17.00	Lecture Scalability in data science analyses (3 x 20′ talks)	Lecture Data science theory (3 x 20′ talks)
17.00 17.30		Lecture Data science theory (3 x 20′ talks)

17.30 19.00	Welcome reception – STCC
18.00 22.00		Olympic Museum Visit and Cocktail